A NUMMI assembly line, which has been operating since 1984, has built an average of 6,000 cars and trucks a week. Generally, 10% of the cars were defective coming off the assembly line. Suppose we draw a random sample of n = 100 cars. Let X represent the number of defective cars in the sample. What can we say about X in regard to the 68- 95-99.7 empirical rule (% age of defective cars that fall between the range of 1, 2, or 3 standard deviations)? Assume a normal distribution for the defective cars in the sample. Hint: n=100; p = 0.1; q = 0.9; μµ = np and σ = npq

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ACTIVITY 7
A NUMMI assembly line, which has been operating since 1984, has built an average of
6,000 cars and trucks a week. Generally, 10% of the cars were defective coming off the
assembly line. Suppose we draw a random sample of n = 100 cars. Let X represent the
number of defective cars in the sample. What can we say about X in regard to the 68-
95-99.7 empirical rule (% age of defective cars that fall between the range of 1, 2, or 3
standard deviations)? Assume a normal distribution for the defective cars in the
sample.
Hint: n = 100; p = 0.1; q = 0.9; μ = np and σ =
npq
Transcribed Image Text:ACTIVITY 7 A NUMMI assembly line, which has been operating since 1984, has built an average of 6,000 cars and trucks a week. Generally, 10% of the cars were defective coming off the assembly line. Suppose we draw a random sample of n = 100 cars. Let X represent the number of defective cars in the sample. What can we say about X in regard to the 68- 95-99.7 empirical rule (% age of defective cars that fall between the range of 1, 2, or 3 standard deviations)? Assume a normal distribution for the defective cars in the sample. Hint: n = 100; p = 0.1; q = 0.9; μ = np and σ = npq
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